Wei Wang

11.4k total citations · 1 hit paper
493 papers, 8.6k citations indexed

About

Wei Wang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Wei Wang has authored 493 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 242 papers in Control and Systems Engineering, 109 papers in Computer Networks and Communications and 100 papers in Artificial Intelligence. Recurrent topics in Wei Wang's work include Stability and Control of Uncertain Systems (77 papers), Neural Networks Stability and Synchronization (67 papers) and Distributed Control Multi-Agent Systems (52 papers). Wei Wang is often cited by papers focused on Stability and Control of Uncertain Systems (77 papers), Neural Networks Stability and Synchronization (67 papers) and Distributed Control Multi-Agent Systems (52 papers). Wei Wang collaborates with scholars based in China, United Kingdom and Canada. Wei Wang's co-authors include Xi‐Ming Sun, Jun Zhao, Dong Wang, Zhongyang Han, Shuai Liu, Witold Pedrycz, Changyun Wen, Dan Wang, D. Rees and Zhouhua Peng and has published in prestigious journals such as IEEE Transactions on Automatic Control, Bioresource Technology and Scientific Reports.

In The Last Decade

Wei Wang

451 papers receiving 8.4k citations

Hit Papers

A Review of Deep Learning Models for Time Series Prediction 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei Wang China 47 4.2k 2.6k 1.4k 1.2k 919 493 8.6k
Vladimir Stojanović Serbia 61 3.2k 0.8× 1.0k 0.4× 1.8k 1.3× 758 0.6× 941 1.0× 87 6.9k
Yeng Chai Soh Singapore 61 5.8k 1.4× 3.0k 1.2× 2.5k 1.8× 2.2k 1.8× 758 0.8× 435 12.7k
Meng Joo Er Singapore 51 3.6k 0.9× 1.2k 0.5× 2.8k 2.0× 915 0.8× 612 0.7× 304 8.3k
Hao Zhang China 50 5.6k 1.3× 4.8k 1.9× 1.6k 1.1× 1.8k 1.5× 611 0.7× 632 9.8k
Krishna R. Pattipati United States 47 3.4k 0.8× 2.1k 0.8× 2.5k 1.8× 2.6k 2.2× 478 0.5× 453 9.0k
Hui Zhang China 53 4.8k 1.2× 2.3k 0.9× 1.0k 0.7× 1.8k 1.5× 2.0k 2.2× 383 10.2k
Shun‐Feng Su Taiwan 50 4.7k 1.1× 1.5k 0.6× 1.3k 1.0× 627 0.5× 496 0.5× 260 7.5k
Bo Shen China 56 7.2k 1.7× 6.8k 2.6× 3.7k 2.6× 2.2k 1.8× 676 0.7× 322 14.6k
Robert Babuška Netherlands 51 5.2k 1.2× 1.5k 0.6× 5.0k 3.6× 1.7k 1.4× 1.3k 1.4× 336 12.4k
K.S. Tang Hong Kong 43 1.5k 0.4× 2.5k 1.0× 2.2k 1.5× 1.6k 1.3× 399 0.4× 230 8.7k

Countries citing papers authored by Wei Wang

Since Specialization
Citations

This map shows the geographic impact of Wei Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Wang. The network helps show where Wei Wang may publish in the future.

Co-authorship network of co-authors of Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wang. A scholar is included among the top collaborators of Wei Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Wang. Wei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Hong, Yi Zhang, Yongming Li, et al.. (2024). Envelope rotation forest: A novel ensemble learning method for classification. Neurocomputing. 618. 129059–129059. 2 indexed citations
2.
Wang, Wei, et al.. (2024). Adaptive neural network based fixed-time attitude tracking control of spacecraft considering input saturation. Aerospace Science and Technology. 155. 109746–109746. 4 indexed citations
3.
Wang, Zhu, Dong Wang, Jie Lian, Hongwei Ge, & Wei Wang. (2024). Momentum-based distributed gradient tracking algorithms for distributed aggregative optimization over unbalanced directed graphs. Automatica. 164. 111596–111596. 8 indexed citations
5.
Chen, Kai, et al.. (2023). Multi-feature generation network-based imputation method for industrial data with high missing rate. Expert Systems with Applications. 227. 120229–120229. 5 indexed citations
6.
Zhao, Jun, et al.. (2023). A Condition Knowledge Representation and Feedback Learning Framework for Dynamic Optimization of Integrated Energy Systems. IEEE Transactions on Cybernetics. 54(5). 2880–2890. 7 indexed citations
7.
Wang, Wei, et al.. (2023). A Novel ADRC Control Strategy for PWM Rectifier. IFAC-PapersOnLine. 56(2). 422–427.
8.
Zhang, Hongqi, Jun Zhao, Henry Leung, & Wei Wang. (2022). Adaptive Weighted Optimization Framework for Multiobjective Long-Term Planning of Concentrate Ingredients in Copper Industry. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 1 indexed citations
9.
Wang, Ze, Zhongyang Han, Jun Zhao, Wei Wang, & Ying Liu. (2022). A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. IEEE Transactions on Industrial Electronics. 70(5). 5296–5306. 7 indexed citations
10.
Liu, Yang, Jun Zhao, Linqing Wang, & Wei Wang. (2022). Unified Modeling for Multiple-Energy Coupling Device of Industrial Integrated Energy System. IEEE Transactions on Industrial Electronics. 70(1). 1005–1015. 7 indexed citations
11.
Zhao, Jun, Yang Liu, Witold Pedrycz, & Wei Wang. (2021). Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network. IEEE Transactions on Industrial Informatics. 17(12). 7933–7945. 24 indexed citations
12.
Wang, Wei, Enyu Guo, A.B. Phillion, et al.. (2020). Semi-solid compression of nano/micro-particle reinforced Al-Cu composites: An in situ synchrotron tomographic study. Materialia. 12. 100817–100817. 10 indexed citations
13.
Han, Zhongyang, Witold Pedrycz, Jun Zhao, & Wei Wang. (2020). Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. IEEE Transactions on Cybernetics. 52(1). 666–676. 30 indexed citations
14.
Jin, Feng, et al.. (2020). Granular-Causality-Based Byproduct Energy Scheduling for Energy-Intensive Enterprise. IEEE Transactions on Automation Science and Engineering. 17(4). 1662–1673. 10 indexed citations
15.
Zhao, Jun, et al.. (2018). A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. IEEE Transactions on Systems Man and Cybernetics Systems. 50(11). 4773–4786. 9 indexed citations
16.
Zhao, Jun, Chunyang Sheng, Wei Wang, Witold Pedrycz, & Quanli Liu. (2016). Data-Based Predictive Optimization for Byproduct Gas System in Steel Industry. IEEE Transactions on Automation Science and Engineering. 14(4). 1761–1770. 22 indexed citations
17.
Yu, Mingyue, et al.. (2015). Aero-engine rotor-static rubbing characteristic analysis based on casing acceleration signal. Journal of Vibroengineering. 17(8). 4180–4192. 3 indexed citations
18.
Wang, Wei. (2010). Optimal order planning model for a multi-process cold rolling line and its algorithm(A). 1 indexed citations
19.
Liu, Yan‐Jun & Wei Wang. (2007). Adaptive Fuzzy Control for a Class of Multivariable Nonlinear Systems. Acta Automatica Sinica. 1 indexed citations
20.
Wang, Wei. (2005). Self-tuning of PID parameters based on particle swarm optimization. Kongzhi yu juece. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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